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World Journal of Engineering
Research and Technology

An International Peer Reviewed Journal for Engineering Research and Technology

ISSN 2454-695X

Impact Factor : 5.924

ICV : 79.45

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Abstract

AN IMPLEMENTATION OF PROTOTYPE TO ANALYZE CLINICAL EXOME SEQUENCE FOR CANCER PREDICTION USING PYTHON

Dr. Krupa Mehta*, Dr. Devarshi Mehta, Dr. Rakesh Rawal, Dr. Maulik Patel and Dr. Vishal Dahiya

ABSTRACT

The proteins are the coding regions of the genome which stores the biological detail of human body. The information of mutation causing any disease is also available in protein that makes protein coding region i.e. exome sequence capable to predict the disease. The study of exome sequence helps to predict the disease easily compare to that of DNA sequence. The disease prediction requires passing multiple complex commands on different tools. The implementation of proposed prototype reduces the work load of clinician from passing set of commands to a single click. Moreover, there is absence of a generalized mechanism to predict cancer from exome sequence. This research work is an effort towards this direction. The proposed prototype produces difference between source exome sequence and reference exome sequence with respect to their SNP (Single Nucleotide Polymorphism) location and Indels (INsertion DELition). The difference in SNP location is useful for cancer prediction. At present, the clinician is supposed to perform various analysis steps by using different tools making the process of analysis very complex.

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